摘要
A detection algorithm with color information for two dynamic images in a real surveillance system is proposed. It considers input region of frame as a detected region or the region behind other objects based on fuzzy corresponding map which describes common regions between input two dynamic images. Detection experimental results for the real surveillance situation show that the proposed algorithm improves 30% of accuracy compared with the independent detection algorithm. The algorithm will be installed in a basis unit for the real surveillance systems.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 2006 IEEE International Conference on Fuzzy Systems |
| 页 | 130-136 |
| 页数 | 7 |
| DOI | |
| 出版状态 | 已出版 - 2006 |
| 已对外发布 | 是 |
| 活动 | 2006 IEEE International Conference on Fuzzy Systems - Vancouver, BC, 加拿大 期限: 16 7月 2006 → 21 7月 2006 |
出版系列
| 姓名 | IEEE International Conference on Fuzzy Systems |
|---|---|
| ISSN（印刷版） | 1098-7584 |
会议
| 会议 | 2006 IEEE International Conference on Fuzzy Systems |
|---|---|
| 国家/地区 | 加拿大 |
| 市 | Vancouver, BC |
| 时期 | 16/07/06 → 21/07/06 |
指纹
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Makino, M., Hatakeyama, Y., & Hirota, K. (2006). Cross-reference detection algorithm for the real surveillance systems based-on fuzzy corresponding map. 在 2006 IEEE International Conference on Fuzzy Systems (页码 130-136). 文章 1681705 (IEEE International Conference on Fuzzy Systems). https://doi.org/10.1109/FUZZY.2006.1681705